code: def test_resize_transform(self):
      input_shapes = [(100, 100), (100, 100, 1), (100, 100, 3)]
      output_shapes = [(200, 200), (200, 200, 1), (200, 200, 3)]
      for in_shape, out_shape in zip(input_shapes, output_shapes):
          in_img = np.random.randint(
              0, 255, size=in_shape, dtype=np.uint8
          )
          tfm = T.ResizeTransform(
              in_shape[0], in_shape[1], out_shape[0], out_shape[1]
          )
          out_img = tfm.apply_image(in_img)
          self.assertEqual(out_img.shape, out_shape)
  
imports: import logging
  import numpy
  import unittest
  from unittest import mock
  import torch
  from PIL import Image, ImageOps
  from torch.nn import functional
  from detectron2.config import get_cfg
  from detectron2.data import detection_utils
  from detectron2.data import transforms
  from detectron2.utils.logger import setup_logger
label_desc: Use image node_id 13 for calling the TestTransforms obj's underlying member method code with example usage: obj.test_resize_transform() without return types